Hierarchical testing designs for pattern recognition

DOI10.1214/009053605000000174zbMath1072.62052arXivmath/0507421OpenAlexW2169948350MaRDI QIDQ2569238

Donald Geman, Gilles Blanchard

Publication date: 18 October 2005

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/math/0507421

zbMATH Keywords

classificationcoarse-to-fine searchsequential hypothesis testinghierarchical designsscene interpolation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Hypothesis testing in multivariate analysis (62H15) Search theory (90B40) Pattern recognition, speech recognition (68T10) Sequential statistical analysis (62L10) Machine vision and scene understanding (68T45)

Related Items (8)

Context, computation, and optimal ROC performance in hierarchical models ⋮ A numerical study of the bottom-up and top-down inference processes in and-or graphs ⋮ False discovery rate control with multivariate \(p\)-values ⋮ Adaptive sensing performance lower bounds for sparse signal detection and support estimation ⋮ Adaptive sequential design for regression on multi-resolution bases ⋮ Efficient blind search: optimal power of detection under computational cost constraints ⋮ Spatially relaxed inference on high-dimensional linear models ⋮ Hierarchical testing designs for pattern recognition

Cites Work

• Coarse-to-fine face detection
• Hierarchical testing designs for pattern recognition
• Model-based classification trees
• Optimal Binary Identification Procedures
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• Unnamed Item
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• Unnamed Item
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• Unnamed Item
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